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Novee vs. XBOW

Continuous attacker-level validation that reasons, remembers, and closes the loop

XBOW runs autonomous exploits against your web apps, but it starts fresh every run, matches known vulnerability classes, and stops at detection. Novee builds a living model of each application, reasons about your business logic, and closes the loop from finding to verified fix — continuously, across your full portfolio.

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Chosen by teams that take attackers seriously

Novee vs. XBOW at a glanceBoth platforms run autonomous AI against your attack surface. The difference is what happens between runs, how deep the reasoning goes, and whether a finding ends at an exploit or a verified fix.

Challenges with XBOW

XBOW is a capable autonomous exploitation engine for known web-app vulnerability classes, and it proves findings with working exploits. The constraints show up when testing needs to run continuously, reason about your application, and end in a fix.

Challenges with XBOW:

  • It starts over every run

    XBOW's engine keeps no persistent model of your application. Each run begins from zero with no memory of prior cycles, so testing never compounds or gets more targeted over time.

  • It pattern-matches known classes

    XBOW surfaces known vulnerability types well, but it can't reason about how your application is supposed to work — so business logic flaws, authorization gaps, and the chained paths that cause real breaches slip through.
    It stops at detection. Findings are handed back for manual review. There's no stack-specific remediation guidance and no automatic retest to confirm a fix actually held.

  • It stops at detection

    Findings are handed back for manual review. There's no stack-specific remediation guidance and no automatic retest to confirm a fix actually held.

  • It runs on third-party models

    XBOW orchestrates general-purpose frontier models rather than a purpose-trained offensive system — so the depth, cost, and reliability of testing depend on AI it doesn't own.

  • Per-test credits don't scale to continuous

    Pricing meters each run, so continuous coverage adds up quickly and teams tend not to expand beyond occasional scoped tests.

Why Novee Over XBOW?

Novee was built for how attacks actually happen: continuously, with context that compounds, reasoning about your specific application, and proving that real risk is gone — not just that it exists. Here’s where that changes the outcome.

  • A living model of every application

    The Organizational Intelligence Model learns your workflows, roles, permissions, APIs, and business logic, and deepens every cycle — so testing gets more targeted the longer it runs.

  • Business logic depth, not just known classes

    Novee reasons about how your app works to find BOLA, IDOR, broken authorization, and chained privilege escalation that pattern-matching structurally misses.

  • Coverage beyond web

    Novee tests web, mobile, desktop, and AI/LLM-powered applications — including the AI-specific findings that detection-only engines miss entirely.

  • Closed-loop remediation

    Every validated finding ships with remediation tailored to your stack and an automatic retest that confirms the real risk is actually closed.

  • A proprietary offensive model

    Novee owns the model and the harness, post-trained on real attacker tradecraft — two levers to optimize for depth, precision, and cost instead of one.

  • Flat, per-asset pricing

    Novee prices by the complexity of your environment, not per run — so continuous coverage scales with your attack surface, not your testing frequency.

Novee vs. XBOW Across Key Areas

Capability Novee XBOW
Business logic & real-impact reasoning

Reasons about your application. Builds a model of your workflows and logic to find authorization gaps and chained paths, and quantifies the real impact.

Pattern-matches known vulnerability classes; cannot reason about application-specific logic or assess true impact.
Compounding context across runs

Gets smarter every cycle. The Organizational Intelligence Model carries context forward, so each run is deeper and more targeted than the last.

Resets every run with no persistent model; testing starts fresh each time and never compounds.
Closed-loop remediation & retest

Closes the loop. Every finding comes with stack-specific remediation and an automatic retest that verifies the fix held.

Stops at detection; remediation requires manual review, with no stack-specific guidance or automatic retest.
Proprietary offensive model

Owns the full stack. A proprietary offensive model post-trained on attacker tradecraft, routed alongside frontier models.

Orchestrates third-party frontier models; no purpose-trained offensive model of its own.
Coverage breadth

Web, mobile, desktop, and AI/LLM apps. Continuous coverage across the full portfolio, including AI-specific findings.

Web apps, APIs, and external attack surface; no mobile testing and AI-app coverage still early.
Continuous as environments evolve

Detects change automatically. Mappers continuously re-map the attack surface and pick up new endpoints every cycle, no prompting required.

Runs autonomously once pointed at a target, but typically needs a manual prompt to detect new endpoints.
Pricing for continuous coverage

Flat, per-asset. Priced to the complexity of your environment, so continuous testing scales with your attack surface.

Per-test credits meter each run; continuous use adds up, though it can fit infrequent, scoped one-off tests.
Autonomous, exploit-proven findings

Independently validated by design. Three blind validation agents, deterministic where possible, so only proven findings reach your team.

Genuinely strong here: runs autonomously and proves findings with working exploits, though results often need manual review to confirm exploitability.
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What security leaders say

“As the leading agentic orchestration platform for the enterprise, data isolation between our customers is non-negotiable. We need to prove that continuously, not once a year. Novee adapted to our multi-tenant SaaS product within days.”

Scott Roberts
CISO
john

“Our pen tests took weeks and consistently missed critical issues. Novee found them immediately and gave us instant remediation guidance. It showed us what we'd been missing.”

John Barrow
CISO

"Traditional DAST produced either zero or irrelevant results. We needed something that could identify complex vulnerabilities like server-side request forgery. Novee consistently surfaces findings we simply weren't seeing before."

Robert Kugler
Head of Security, IT & Compliance

“Novee rethinks penetration testing for how attacks actually happen today. Continuous, attacker-level validation that proves what’s exploitable and shows teams exactly how to fix it is a meaningful shift for modern security programs.”

Troy Wilkinson
Former Fortune 500 CISO
tamir ronen

"The hardest vulnerabilities for us to catch aren’t misconfigurations or known patterns. They’re business logic issues that only show up when someone understands how the application is supposed to work. That’s exactly the gap Novee closes."

Tamir Ronen
CISO, HiBob

"We had EASM tools and manual pentests that produced mostly noise. Novee came in black-box with zero credentials and within days found dozens of real vulnerabilities we could actually fix."

Itzik Menashe
CISO, Global VP IT InfoSec & productivity

“As an AI researcher, what stood out about Novee is that they built a proprietary offensive AI model designed to think like an attacker, rather than wrapping generic LLMs. That matters for enterprise-grade results.”

Tal Shapira
PhD, CTO

“This was by far the deepest and fastest security assessment we’ve had. Novee uncovered issues across our web and mobile applications that had gone undetected before, and the level of depth was unlike anything we’d seen from other vendors.”

Amir Tito
CISO

“We had urgent compliance need and we couldn’t wait weeks for DAST findings, an external exposure audit, and an in-depth pentest report. Instead Novee came in and delivered immediate value with their AI pentesting platform; with their findings, we closed our gaps and quickly met the criteria we needed for certification.”

Ron Reiter
CTO

"Before Novee, we were getting a snapshot once a year. Now we have continuous coverage across our application portfolio, we're already finding things that prior manual pentests missed completely, and I have real confidence that our security posture reflects what's actually in our environment."

Abhijeet Patkar
Cyber Security Manager

"Novee takes the complexity out of penetration testing while providing transparent, step-by-step details of everything they do. Novee delivers the attacker-level validation we need to confidently close real external-domain exposures that other testing misses."

Anthony Gacayan
Senior Information Security Engineer

"Novee has become our main security testing system because they focus on the product itself, where most of our real risk sits and where other tools keep coming up short. With regulatory pressure building across our global markets, continuous, change-triggered penetration testing has become essential."

Ronen Rabinovich
Sr. Manager Product Security Lead

The Novee Advantages

A living model of your application — not a fresh start every run

The Problem with XBOW:

XBOW's engine is autonomous and fast, but it has no memory. Each run begins from zero, with no persistent understanding of your application, and per-test credits mean every cycle re-pays for ground already covered. Testing never compounds, so it never gets more targeted.

How Novee does it differently:

Novee builds an Organizational Intelligence Model — a living model of your assets’ workflows, roles, permissions, APIs, and business logic that deepens with every cycle. The longer Novee runs, the more targeted and accurate it gets, because it never starts from scratch.

Reasoning about how your application actually works

The Problem with XBOW:

XBOW is strong at known vulnerability classes, but it pattern-matches rather than reasons. It can't model what your application is supposed to do, so business logic flaws, authorization gaps, and the AI-specific issues in LLM-powered apps go unseen — the exact flaws that turn into real breaches.

How Novee does it differently:

Novee's agents reason about your application's logic before they attack it. This allows the platform to surface complex business logic vulnerabilities like BOLA, IDOR, broken authorization, and multi-step paths that checklists can't reach.

Closing the loop — not stopping at the exploit

The Problem with XBOW:

XBOW proves a finding exists and hands it back. From there, remediation is a manual exercise: no guidance tailored to your stack, and no automatic retest to confirm the issue is actually gone. Proving risk exists is only half the job.

How Novee does it differently:

Novee closes the loop. Every validated finding ships with remediation tailored to your WAF, backend, and tech stack, and Fixers automatically retest once the change is deployed to confirm the real risk is removed and nothing new was introduced. Finding risk isn't enough — Novee proves it's fixed.

See what resets every run — and what compounds

Novee proves exploitability from day one, starting with only a domain. No source code, no credentials, no scheduling — just continuous, attacker-level validation that reasons about your application and closes the loop.
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